






"""simple docstring"""
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoImageProcessor, ViTImageProcessor
from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test


sys.path.append(str(Path(__file__).parent.parent / '''utils'''))

from test_module.custom_image_processing import CustomImageProcessor  # noqa E402


lowerCamelCase_							      = get_tests_dir('''fixtures''')







class      UpperCamelCase_			(unittest.TestCase	):





	def 	_SCREAMING_SNAKE_CASE ( self   :					Tuple		)		->     List[Any]:
				# A mock response for an HTTP head request to emulate server down
				UpperCAmelCase_	:					List[Any]     	=   mock.Mock()
				UpperCAmelCase_	:					List[str]     	=   500
				UpperCAmelCase_	:					List[str]     	=   {}
				UpperCAmelCase_	:					Any     	=   HTTPError
				UpperCAmelCase_	:					int     	=   {}

				# Download this model to make sure it's in the cache.
				UpperCAmelCase_	:					List[str]     	=   ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit"		)
				# Under the mock environment we get a 500 error when trying to reach the model.
				with mock.patch("requests.Session.request"      ,      return_value=lowerCAmelCase_		) as mock_head:
							UpperCAmelCase_	:					List[str]     	=   ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit"		)
							# This check we did call the fake head request
							mock_head.assert_called()





	def 	_SCREAMING_SNAKE_CASE ( self   :					List[Any]		)		->     Tuple:
				# This test is for deprecated behavior and can be removed in v5
				UpperCAmelCase_	:					Any     	=   ViTImageProcessor.from_pretrained(
				    "https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json"		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Optional[int]		)		->     int:
				with self.assertRaises(lowerCAmelCase_		):
							# config is in subfolder, the following should not work without specifying the subfolder
							UpperCAmelCase_	:					str     	=   AutoImageProcessor.from_pretrained("hf-internal-testing/stable-diffusion-all-variants"		)

				UpperCAmelCase_	:					int     	=   AutoImageProcessor.from_pretrained(
				    "hf-internal-testing/stable-diffusion-all-variants"      ,      subfolder="feature_extractor"		)

				self.assertIsNotNone(lowerCAmelCase_		)







@is_staging_test
class      UpperCamelCase_			(unittest.TestCase	):





	@classmethod
	def 	_SCREAMING_SNAKE_CASE ( cls   :					str		)		->     Tuple:
				UpperCAmelCase_	:					Any     	=   TOKEN
				HfFolder.save_token(lowerCAmelCase_		)





	@classmethod
	def 	_SCREAMING_SNAKE_CASE ( cls   :					Tuple		)		->     int:
				try:
							delete_repo(token=cls._token      ,      repo_id="test-image-processor"		)
				except HTTPError:
							pass

				try:
							delete_repo(token=cls._token      ,      repo_id="valid_org/test-image-processor-org"		)
				except HTTPError:
							pass

				try:
							delete_repo(token=cls._token      ,      repo_id="test-dynamic-image-processor"		)
				except HTTPError:
							pass





	def 	_SCREAMING_SNAKE_CASE ( self   :					Union[str, Any]		)		->     str:
				UpperCAmelCase_	:					List[Any]     	=   ViTImageProcessor.from_pretrained(lowerCAmelCase_		)
				image_processor.push_to_hub("test-image-processor"      ,      use_auth_token=self._token		)

				UpperCAmelCase_	:					Dict     	=   ViTImageProcessor.from_pretrained(f"""{USER}/test-image-processor"""		)
				for k, v in image_processor.__dict__.items():
							self.assertEqual(lowerCAmelCase_      ,      getattr(lowerCAmelCase_      ,      lowerCAmelCase_		)		)

				# Reset repo
				delete_repo(token=self._token      ,      repo_id="test-image-processor"		)

				# Push to hub via save_pretrained
				with tempfile.TemporaryDirectory() as tmp_dir:
							image_processor.save_pretrained(
							    lowerCAmelCase_      ,      repo_id="test-image-processor"      ,      push_to_hub=lowerCAmelCase_      ,      use_auth_token=self._token		)

				UpperCAmelCase_	:					List[Any]     	=   ViTImageProcessor.from_pretrained(f"""{USER}/test-image-processor"""		)
				for k, v in image_processor.__dict__.items():
							self.assertEqual(lowerCAmelCase_      ,      getattr(lowerCAmelCase_      ,      lowerCAmelCase_		)		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					str		)		->     Any:
				UpperCAmelCase_	:					List[Any]     	=   ViTImageProcessor.from_pretrained(lowerCAmelCase_		)
				image_processor.push_to_hub("valid_org/test-image-processor"      ,      use_auth_token=self._token		)

				UpperCAmelCase_	:					Union[str, Any]     	=   ViTImageProcessor.from_pretrained("valid_org/test-image-processor"		)
				for k, v in image_processor.__dict__.items():
							self.assertEqual(lowerCAmelCase_      ,      getattr(lowerCAmelCase_      ,      lowerCAmelCase_		)		)

				# Reset repo
				delete_repo(token=self._token      ,      repo_id="valid_org/test-image-processor"		)

				# Push to hub via save_pretrained
				with tempfile.TemporaryDirectory() as tmp_dir:
							image_processor.save_pretrained(
							    lowerCAmelCase_      ,      repo_id="valid_org/test-image-processor-org"      ,      push_to_hub=lowerCAmelCase_      ,      use_auth_token=self._token		)

				UpperCAmelCase_	:					Tuple     	=   ViTImageProcessor.from_pretrained("valid_org/test-image-processor-org"		)
				for k, v in image_processor.__dict__.items():
							self.assertEqual(lowerCAmelCase_      ,      getattr(lowerCAmelCase_      ,      lowerCAmelCase_		)		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Any		)		->     List[Any]:
				CustomImageProcessor.register_for_auto_class()
				UpperCAmelCase_	:					Dict     	=   CustomImageProcessor.from_pretrained(lowerCAmelCase_		)

				image_processor.push_to_hub("test-dynamic-image-processor"      ,      use_auth_token=self._token		)

				# This has added the proper auto_map field to the config
				self.assertDictEqual(
				    image_processor.auto_map      ,      {"AutoImageProcessor": "custom_image_processing.CustomImageProcessor"}      ,      )

				UpperCAmelCase_	:					Optional[int]     	=   AutoImageProcessor.from_pretrained(
				    f"""{USER}/test-dynamic-image-processor"""      ,      trust_remote_code=lowerCAmelCase_		)
				# Can't make an isinstance check because the new_image_processor is from the CustomImageProcessor class of a dynamic module
				self.assertEqual(new_image_processor.__class__.__name__      ,      "CustomImageProcessor"		)








'''simple docstring'''



import os

lowerCAmelCase_  :							Union[str, Any]             =    {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000}
def        UpperCAmelCase (    A	:					str					):
							SCREAMING_SNAKE_CASE       :   str         =      0

							SCREAMING_SNAKE_CASE       :   List[str]         =      0
							while index < len(A					) - 1:
														SCREAMING_SNAKE_CASE       :   Dict         =      SYMBOLS[numerals[index]]
														SCREAMING_SNAKE_CASE       :   str         =      SYMBOLS[numerals[index + 1]]
														if current_value < next_value:
																					total_value -= current_value
														else:
																					total_value += current_value
														index += 1
							total_value += SYMBOLS[numerals[index]]

							return total_value
def        UpperCAmelCase (    A	:					int					):
							SCREAMING_SNAKE_CASE       :   Any         =      ''''''

							SCREAMING_SNAKE_CASE       :   Dict         =      num // 1000
							numerals += m_count * "M"
							num %= 1000

							SCREAMING_SNAKE_CASE       :   str         =      num // 100
							if c_count == 9:
														numerals += "CM"
														c_count -= 9
							elif c_count == 4:
														numerals += "CD"
														c_count -= 4
							if c_count >= 5:
														numerals += "D"
														c_count -= 5
							numerals += c_count * "C"
							num %= 100

							SCREAMING_SNAKE_CASE       :   Any         =      num // 10
							if x_count == 9:
														numerals += "XC"
														x_count -= 9
							elif x_count == 4:
														numerals += "XL"
														x_count -= 4
							if x_count >= 5:
														numerals += "L"
														x_count -= 5
							numerals += x_count * "X"
							num %= 10

							if num == 9:
														numerals += "IX"
														num -= 9
							elif num == 4:
														numerals += "IV"
														num -= 4
							if num >= 5:
														numerals += "V"
														num -= 5
							numerals += num * "I"

							return numerals
def        UpperCAmelCase (    A	:					str = "/p089_roman.txt"					):
							SCREAMING_SNAKE_CASE       :   List[str]         =      0

							with open(os.path.dirname(A					) + roman_numerals_filename					) as filea:
														SCREAMING_SNAKE_CASE       :   str         =      filea.readlines()

							for line in lines:
														SCREAMING_SNAKE_CASE       :   Any         =      line.strip()
														SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      parse_roman_numerals(A					)
														SCREAMING_SNAKE_CASE       :   Any         =      generate_roman_numerals(A					)
														savings += len(A					) - len(A					)

							return savings


if __name__ == "__main__":
							print(f'{solution() = }')




